What are the hardware requirements for LiteLlama 460M 1T?

LiteLlama 460M 1T requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LiteLlama 460M 1T and how large is it?

LiteLlama 460M 1T is developed by Xenova, a model with 460m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate LiteLlama 460M 1T?

LiteLlama 460M 1T is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LiteLlama 460M 1T by Xenova — 1K context

Name: LiteLlama 460M 1T
Author: Xenova

LiteLlama 460M 1T is an open-source language model by Xenova. Features: 460m LLM, Context: 1K, LLM Explorer Score: 0.1.

Base model:ahxt/litellama-460m... Base model:quantized:ahxt/lite... Llama Onnx Region:us Transformers.js

Model Card on HF 🤗: https://huggingface.co/Xenova/LiteLlama-460M-1T

LiteLlama 460M 1T Parameters and Internals

Additional Notes

The base model has been converted to ONNX format to be compatible with Transformers.js. This conversion is suggested as a temporary solution for improved WebML compatibility.

LLM Name	LiteLlama 460M 1T
Repository 🤗	https://huggingface.co/Xenova/LiteLlama-460M-1T
Base Model(s)	LiteLlama 460M 1T ahxt/LiteLlama-460M-1T
Model Size	460m
Updated	2026-07-29
Maintainer	Xenova
Model Type	llama
Model Architecture	LlamaForCausalLM
Context Length	1024
Model Max Length	1024
Transformers Version	4.36.2
Tokenizer Class	GPT2Tokenizer
Padding Token	"
Vocabulary Size	50304
Errors	replace

Rank the LiteLlama 460M 1T capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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TeenyTinyLlama Doc 460M Chat	2K / 1.9 GB	10	0
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Doctor Llama 460M	2K / 0 GB	9	0
TeenyTinyLlama Doc 460M	2K / 0 GB	8	0
TeenyTinyLlama 460M Chat	2K / 0 GB	90	3
TeenyTinyLlama 460M	2K / 1.9 GB	145	12
...60M Experimental Ptbr Instruct	2K / 0.9 GB	8	4
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Lite Vortex	1K / 0.9 GB	10	2

Note: green Score (e.g. "73.2") means that the model is better than Xenova/LiteLlama-460M-1T.